UniODA vs. Logistic Regression and Fisher’s Linear Discriminant Analysis: Modeling 10-Year Population Change

Paul R. Yarnold

Optimal Data Analysis, LLC

UniODA-based classification models involving one attribute yielded greater overall, maximum, and minimum classification accuracy in modeling 10-year population change than legacy models involving five attributes and derived using either logistic regression analysis or Fisher’s linear discriminant analysis.

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